Competent Men and Warm Women: Gender Stereotypes and Backlash in Image Search Results
Competent Men and Warm Women: Gender Stereotypes and Backlash in Image Search Results
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干练的男人和温暖的女人：图像搜索结果中的性别刻板印象和反弹
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Paul D. Clough
中科院分区：
文献类型：
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作者：
Jahna Otterbacher;J. Bates;Paul D. Clough
人们对信息服务背后的算法及其所呈现的世界观非常关注。受特质形容词清单方法的启发，我们开发了一种新方法来检查图像搜索中性别刻板印象的内容和强度。我们比较了 Bing 在四个区域市场中针对“人”查询和基于 68 个性格特征（例如“聪明人”）的查询检索的照片中的性别分布。与女性相比，男性照片更常被检索为“人”。正如预测的那样，女性的照片更常被检索为温暖的特征（例如“情感”），而男性的照片代表了代理特征（例如“理性”）。观察到一种反弹效应，即与刻板印象不一致的个体受到惩罚。然而，“干练女性”的抵制比“暖男”更普遍。结果强调需要了解偏差如何以及为何进入搜索算法以及在工程过程的哪些阶段。
There is much concern about algorithms that underlie information services and the view of the world they present. We develop a novel method for examining the content and strength of gender stereotypes in image search, inspired by the trait adjective checklist method. We compare the gender distribution in photos retrieved by Bing for the query "person" and for queries based on 68 character traits (e.g., "intelligent person") in four regional markets. Photos of men are more often retrieved for "person," as compared to women. As predicted, photos of women are more often retrieved for warm traits (e.g., "emotional") whereas agentic traits (e.g., "rational") are represented by photos of men. A backlash effect, where stereotype-incongruent individuals are penalized, is observed. However, backlash is more prevalent for "competent women" than "warm men." Results underline the need to understand how and why biases enter search algorithms and at which stages of the engineering process.
影响因子：
3.9
作者：
Abele, Andrea E.;Uchronski, Mirjam;Wojciszke, Bogdan
通讯作者：
Wojciszke, Bogdan